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Table 4 Measurement invariance model between different samples fitting indices and comparison

From: Factorial structure and measurement invariance of the Chinese version of the Oral Health Impact Profile-14 among clinical populations and non-clinical populations: an evidence for public oral investigations

Model

χ² (df), p

CFI

TLI

SRMR

RMSEA

Model comparison

∆CFI

∆RMSEA

The clinical populations

129.044(56), p < 0.001

0.970

0.952

0.029

0.052

   

The non-clinical populations

102.076(56), p < 0.001

0.987

0.978

0.023

0.030

   

Model 1

229.067(112), p < 0.001

0.981

0.969

0.025

0.039

   

Model 2

242.511(119), p < 0.001

0.980

0.970

0.029

0.038

2 vs. 1

-0.001

-0.001

Model 3

259.125(126), p < 0.001

0.979

0.969

0.030

0.039

3 vs. 2

-0.001

0.001

Model 4

375.653(140), p < 0.001

0.962

0.951

0.038

0.049

4 vs. 3

-0.017

0.010

  1. Model 1 = configural invariance; Model 2 = metric invariance; Model 3 = scalar invariance; Model 4 = error variance invariance; χ², chi-square; df, degree of freedom; CFI, comparative fit index; TLI, Tucker-Lewis index; SRMR, standardized root mean square residual; RMSEA, root-mean-square error of approximation; ∆, change in the parameter